Issue 2/2020
Content (10 Articles)
Genetic instrumental variable analysis: time to call mendelian randomization what it is. The example of alcohol and cardiovascular disease
Kenneth J. Mukamal, Meir J. Stampfer, Eric B. Rimm
Mendel’s laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues
George Davey Smith, Michael V. Holmes, Neil M. Davies, Shah Ebrahim
Serum albumin and atrial fibrillation: insights from epidemiological and mendelian randomization studies
Li-zhen Liao, Shao-zhao Zhang, Wei-dong Li, Ying Liu, Jia-ping Li, Xiao-dong Zhuang, Xin-xue Liao
Circulating total bilirubin and risk of non-alcoholic fatty liver disease in the PREVEND study: observational findings and a Mendelian randomization study
Setor K. Kunutsor, Monika Frysz, Niek Verweij, Lyanne M. Kieneker, Stephan J. L. Bakker, Robin P. F. Dullaart
Using Mendelian randomization to evaluate the causal relationship between serum C-reactive protein levels and age-related macular degeneration
Xikun Han, Jue-Sheng Ong, Jiyuan An, Alex W. Hewitt, Puya Gharahkhani, Stuart MacGregor
Observational and genetic studies of short telomeres and Alzheimer’s disease in 67,000 and 152,000 individuals: a Mendelian randomization study
Alexander Scheller Madrid, Katrine L. Rasmussen, Line Rode, Ruth Frikke-Schmidt, Børge G. Nordestgaard, Stig E. Bojesen
Lifelines NEXT: a prospective birth cohort adding the next generation to the three-generation Lifelines cohort study
Willemijn D. B. Warmink-Perdijk, Lilian L. Peters, Ettje F. Tigchelaar, Jackie A. M. Dekens, Soesma A. Jankipersadsing, Alexandra Zhernakova, Willem J. R. Bossers, Jan Sikkema, Ank de Jonge, Sijmen A. Reijneveld, Henkjan J. Verkade, Gerard H. Koppelman, Cisca Wijmenga, Folkert Kuipers, Sicco A. Scherjon
Rationale and Design of the Hamburg City Health Study
Annika Jagodzinski, Christoffer Johansen, Uwe Koch-Gromus, Ghazal Aarabi, Gerhard Adam, Sven Anders, Matthias Augustin, Ramona B. der Kellen, Thomas Beikler, Christian-Alexander Behrendt, Christian S. Betz, Carsten Bokemeyer, Katrin Borof, Peer Briken, Chia-Jung Busch, Christian Büchel, Stefanie Brassen, Eike S. Debus, Larissa Eggers, Jens Fiehler, Jürgen Gallinat, Simone Gellißen, Christian Gerloff, Evaldas Girdauskas, Martin Gosau, Markus Graefen, Martin Härter, Volker Harth, Christoph Heidemann, Guido Heydecke, Tobias B. Huber, Yassin Hussein, Marvin O. Kampf, Olaf von dem Knesebeck, Alexander Konnopka, Hans-Helmut König, Robert Kromer, Christian Kubisch, Simone Kühn, Sonja Loges, Bernd Löwe, Gunnar Lund, Christian Meyer, Lina Nagel, Albert Nienhaus, Klaus Pantel, Elina Petersen, Klaus Püschel, Hermann Reichenspurner, Guido Sauter, Martin Scherer, Katharina Scherschel, Ulrich Schiffner, Renate B. Schnabel, Holger Schulz, Ralf Smeets, Vladislavs Sokalskis, Martin S. Spitzer, Claudia Terschüren, Imke Thederan, Tom Thoma, Götz Thomalla, Benjamin Waschki, Karl Wegscheider, Jan-Per Wenzel, Susanne Wiese, Birgit-Christiane Zyriax, Tanja Zeller, Stefan Blankenberg
On the relationship of machine learning with causal inference
Sheng-Hsuan Lin, Mohammad Arfan Ikram
Authors’ reply to ‘Multiple comparisons controversies are about context and costs, not frequentism versus Bayesianism’
Arvid Sjölander, Stijn Vansteelandt